Research Position in Electrical Engineering at Nanyang Technological University

[emap...@gmail.com]

The Rapid-Rich Object SEarch (ROSE) Lab is a joint research initiative between the Nanyang Technological University (NTU) and Peking University (PKU). It aims to create a platform for fast mobile searches on object databases. The three key thrusts of the ROSE Lab are: (i) large-scale object database collection and analytics, (ii) scalable mobile object search with contextual mobility, and (iii) media cloud platform. Resources at the ROSE Lab consist of NTU & PKU Faculty, Researchers, PhD Students, and Visiting Scholars & Students from other institutions from around the world.

(i)Research into Computer Vision and Machine Learning

(ii)Perfrom research work in large-scale visual object/image/video search, retrieval, detection and classification

(iii)Assist in drafting of proposals for research grants in the above areas.

The successful applicant will typically be on a 1 year contract basis, with the option to renew based on the candidate's performance.

Learn more about ROSE Lab at http://rose.ntu.edu.sg/

Interested applicants please indicate the “Job Bank ID JOB-2018-0182647” in your subject heading, attach your full CV, with the names and contacts (including email addresses) of 3 character referees, and all relevant academic certificates to Wa...@ntu.edu.sg

For instructions on how to apply, please refer to: http://bit.ly/2AxeDDU

[emap...@gmail.com]

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems was jointly established by the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) and Delta Electronics.

The Corp Lab aims to create business value through collaborative commercialization of translational research and industrial development. Successful candidates will conduct research and development work related to Smart Manufacturing. The candidates are expected to contribute in effort targets pave new solution business in Smart Manufacturing in the Asia Pacific Region.

Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) http://www.eee.ntu.edu.sg is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subjects.

Delta Electronics was founded in 1971 and is a global leader in Power Electronics, Energy Management and Smart Green Life, with over 50 R&D sites globally and more than 5,000 R&D engineers.

Recent development and implementation of advanced information and communication technologies (ICT) (e.g. Internet-of-Things (IoT), Cyber-Physical System (CPS)) triggered a promising market of smart, connected product (SCP) (e.g. smart phone, wearable, machine tools etc.), and hence, enabled the prevailing tendency of enterprise value proposition towards a service-oriented manner, viz. smart product-service systems (PSS). Smart PSS, as a unique type of PSS, aims to achieve individual customer satisfaction with less environmental impact by utilizing SCP as the tool and media, to generate various e-services as a bundle.

The successful candidates are expected to contribute in the research area of smart PSS by embracing the state-of-the-art ICT techniques to realize a prototype user-centric, stakeholder-oriented design system that supports the design and development of innovative solutions based on multicultural stakeholder/customer/user requirements, with practical commercialization values in the track of Smart Commercialization (SCO-RP1), and to support value creation process in other Corp Lab tracks, viz. Smart Manufacturing, Smart Living and Smart Learning.

Master (M.Eng./M.Sc.) degree or PhD in Industrial/Systems/Mechanical/Computer Engineering, Computer Sciences, Management Information Systems, Service Science, Technology Management or related fields with knowledge/experience in computer programming, artificial intelligence, and management information systems.

Interested candidates please send your CV/resume to:

Prof Chen Chun-Hsien

School of Mechanical and Aerospace Engineering

Nanyang Technological University

50 Nanyang Avenue

Block N3.2

Singapore 639798

E-mail Address for E-mailed Applications: MCH...@ntu.edu.sg

For instructions on how to apply, please refer to: http://bit.ly/2Azm2CM

[emap...@gmail.com]

The Delta-NTU Corporate Laboratory for Cyber-Physical Systems was jointly established by the School of Electrical and Electronic Engineering (EEE) at Nanyang Technological University (NTU) and Delta Electronics.

The Corp Lab aims to create business value through collaborative commercialization of translational research and industrial development. The successful candidates will conduct research and development work related to Smart Manufacturing. The candidates are expected to contribute in effort targets pave new solution business in Smart Manufacturing in the Asia Pacific Region.

Delta Electronics was founded in 1971 and is a global leader in Power Electronics, Energy Management and Smart Green Life, with over 50 R&D sites globally and more than 5,000 R&D engineers.

You will be the core research team in developing and delivering computer vision and machine learning (including Deep Learning) to achieve highly accurate and flexible pattern recognition techniques in industrial optical inspection. You will be working at Delta-NTU Corporate Lab where state-of-the-art research facilities and access to top equipment are available and also provides you a vibrant and solution-driven research environment. You will work with a team of researchers, PhD students and hardware & software engineers on real world problems and develop practical solution in manufacturing context. You will conduct and lead original research, publish in patents and top-tier conferences and journals which contribute towards the development of useful solutions.

For instructions on how to apply, please refer to: http://bit.ly/2SHtNO8